Claudio Zucca
Biographic Data
| ID | 7661641 |
|---|---|
| NAME | Claudio Zucca |
| GIVEN NAMES | Claudio |
| FAMILY NAME | Zucca |
| SIGNATURE | ZUCCA C |
| AFFILIATIONS | University of Sassari |
| ORCID | 0000-0001-7621-2542 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The Landsupport Geospatial Decision Support System ( S‐dss ) Vision
Nowadays, there is contrasting evidence between the ongoing continuing and widespread environmental degradation and the many means to implement environmental sustainability actions starting from good policies (e.g. EU New Green Deal, CAP), powerful technologies (e.g. new satellites, drones, IoT sensors), large databases and large stakeholder engagement (e.g. EIP‐AGRI, living labs). Here, we argue that to tackle the above contrasting issues dealin…
Toward an operational tool to integrate land degradation neutrality into land use planning
Land use planning (LUP) to achieve Land Degradation Neutrality (LDN) needs methods and tools that support the identification of best LUP solutions in terms of transitions from current degradative land use (LU) and land management (LM) practices to better LU and LM options. A crucial need is the identification of context specific sustainable land management (SLM) options. Addressing this need must aim at not only reversing/recovering past degradat…
Implementation of a multi‐layered land degradation monitoring and forecasting framework toward integrated countermeasure planning in drylands
Various earth observation (EO) data and related spatial technologies are employed to monitor land degradation (LD) and its impacts on the drylands. However, a comprehensive framework that integrates multiple data sources and metrics to generate a consistent output still needs to be explored. Furthermore, the lack of consistency and the limited reliabilities of existing approaches make it challenging to identify proper countermeasures (avoid, redu…
Mapping land degradation and sand and dust generation hotspots by spatiotemporal data fusion analysis
The ongoing desertification and aeolian erosion processes in the southern Gobi Desert are ranked as one of the most significant global environmental disasters. In this study, we analyzed the decadal progress of eolian erosion in the southern Gobi Desert and traced key factors controlling intensified land degradation (LD) and sand and dust (SD) generation employing satellite data and climatic variables. Columnar dust mass density from climatic dat…
The geomorphologic and pedo-morphologic maps of Skhirat (Feriana, Tunisia) at the 1
Land planning and land restoration in drylands affected by desertification require a good understanding of the active geomorphic processes, their intensities and spatial patterns. Traditional Soil and Land Suitability maps do not incorporate this information and may be partially inadequate in that regard, because they necessarily give a ‘static’ representation of the land. The geomorphology of the study area (Feriana district, Central Western Tun…
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The geomorphologic and pedo-morphologic maps of Skhirat (Feriana, Tunisia) at the 1
Land planning and land restoration in drylands affected by desertification require a good understanding of the active geomorphic processes, their intensities and spatial patterns. Traditional Soil and Land Suitability maps do not incorporate this information and may be partially inadequate in that regard, because they necessarily give a ‘static’ representation of the land. The geomorphology of the study area (Feriana district, Central Western Tun…
Implementation of a multi‐layered land degradation monitoring and forecasting framework toward integrated countermeasure planning in drylands
Various earth observation (EO) data and related spatial technologies are employed to monitor land degradation (LD) and its impacts on the drylands. However, a comprehensive framework that integrates multiple data sources and metrics to generate a consistent output still needs to be explored. Furthermore, the lack of consistency and the limited reliabilities of existing approaches make it challenging to identify proper countermeasures (avoid, redu…
Mapping land degradation and sand and dust generation hotspots by spatiotemporal data fusion analysis
The ongoing desertification and aeolian erosion processes in the southern Gobi Desert are ranked as one of the most significant global environmental disasters. In this study, we analyzed the decadal progress of eolian erosion in the southern Gobi Desert and traced key factors controlling intensified land degradation (LD) and sand and dust (SD) generation employing satellite data and climatic variables. Columnar dust mass density from climatic dat…
The Landsupport Geospatial Decision Support System ( S‐dss ) Vision
Nowadays, there is contrasting evidence between the ongoing continuing and widespread environmental degradation and the many means to implement environmental sustainability actions starting from good policies (e.g. EU New Green Deal, CAP), powerful technologies (e.g. new satellites, drones, IoT sensors), large databases and large stakeholder engagement (e.g. EIP‐AGRI, living labs). Here, we argue that to tackle the above contrasting issues dealin…
Toward an operational tool to integrate land degradation neutrality into land use planning
Land use planning (LUP) to achieve Land Degradation Neutrality (LDN) needs methods and tools that support the identification of best LUP solutions in terms of transitions from current degradative land use (LU) and land management (LM) practices to better LU and LM options. A crucial need is the identification of context specific sustainable land management (SLM) options. Addressing this need must aim at not only reversing/recovering past degradat…
Environmental Science (4 works) · Aeolian processes and effects (3 works) · Computer Science (3 works) · Geography (3 works) · Land degradation (3 works) · Land use (3 works) · Remote sensing (3 works) · Cartography (2 works) · Civil engineering (2 works) · Data mining (2 works)